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As the fundamental energy storage components in electronic systems, dielectric capacitors with high power densities were demanded. In this work, the anti-ferroelectric Pb0.89La0.06Sr0.05(Zr0.95Ti0.05)O3 (PLSZT) ceramics and thin film capacitor were successfully fabricated by a solid-state reaction route and pulsed laser deposition method, respectively. The ferroelectric, dielectric, energy-storage properties, and temperature stability of anti-ferroelectric PLSZT capacitor were investigated in detail. By compared with the PLSZT ceramic (energy storage density is 1.29 J/cm3 with an efficiency of 78.7% under 75 kV/cm), the anti-ferroelectric PLSZT thin film capacitors exhibited the enhanced energy storage density of 52.6 J/cm3 with efficiency of 67.7% under an electric field as high as 2068.9 kV/cm, and the enhanced energy-storage temperature stabilities from room temperature (RT) to more than 200 °C were demonstrated, and the oxygen defects mechanism and size effect were discussed. Moreover, the fast charging (∼0.05 μs) and discharging (∼0.15 μs) time were certified for the anti-ferroelectric PLSZT film capacitor. These findings broaden the horizon for PLSZT anti-ferroelectrics in high energy storage properties and show promising for manufacturing pulse power capacitor.

Platelets promote tumor growth and metastasis in several tumor types. Recent research has found platelets can extravasate and infiltrate into the tumor stroma and interact with the tumor microenvironment. The prognostic role of platelet infiltration in colorectal cancer (CRC) remains controversial. A pan-cancer survival analysis was performed to find the potential prognostic value of platelet infiltration in patients with cancer. A survival analysis and a nomogram prognostic model were established to further confirm the results with data from our center. The correlations between patient outcomes and tumor-infiltrating platelets (TIPs) were identified by immunohistochemical staining for CD42b. The prognostic accuracy and discriminative ability of the nomogram were determined by the concordance index (C-index) and a calibration curve. The pan-cancer survival analysis showed platelet infiltration can lead to a poor prognosis in patients with several types of cancers, including CRC. Platelet infiltration was associated with overall survival (OS) and disease-free survival (DFS) in both primary and validation cohorts. The C-index values of the nomogram for predicting OS and DFS were 0.774 and 0.769, respectively, which were higher than that of the TNM staging system alone. Our study found platelet infiltration has a potential prognostic value regarding postsurgical survival in CRC patients. The proposed nomogram resulted in a more accurate prognostic prediction for postsurgical CRC patients.

Traditional video compression approaches build upon the hybrid coding framework with motion-compensated prediction and residual transform coding. In this paper, we propose the first end-to-end deep video compression framework to take advantage of both the classical compression architecture and the powerful non-linear representation ability of neural networks. Our framework employs pixel-wise motion information, which is learned from an optical flow network and further compressed by an auto-encoder network to save bits. The other compression components are also implemented by the well-designed networks for high efficiency. All the modules are jointly optimized by using the rate-distortion trade-off and can collaborate with each other. More importantly, the proposed deep video compression framework is very flexible and can be easily extended by using lightweight or advanced networks for higher speed or better efficiency. We also propose to introduce the adaptive quantization layer to reduce the number of parameters for variable bitrate coding. Comprehensive experimental results demonstrate the effectiveness of the proposed framework on the benchmark datasets.

BACKGROUND Opinions vary on the medial border of D3 lymphadenectomy for right colon cancer. Most surgeons place the medial border along the left side of the superior mesenteric vein, but some consider the left side of the superior mesenteric artery as the medial border. OBJECTIVES This study investigated the clinical outcomes of laparoscopic D3 lymphadenectomy for right colon cancer with the medial border along the left side of superior mesenteric artery. DESIGN This was a retrospective study. SETTINGS The study was conducted in specialized colorectal cancer department of 5 tertiary hospitals. PATIENTS Patients receiving laparoscopic D3 lymphadenectomy for right colon cancer from January 2013 to December 2018 were included. MAIN OUTCOME MEASURES After propensity score matching, 307 patients receiving laparoscopic D3 lymphadenectomy along the left side of the superior mesenteric artery were assigned to the superior mesenteric artery group and 614 patients were assigned to the superior mesenteric vein group. Univariate, multivariate, and Kaplan-Meier analyses were performed to assess the clinical data. RESULTS The short-term outcomes were similar between the 2 groups; however, the superior mesenteric artery group had a higher rate of chylous leakage (p < 0.001). More lymph nodes were harvested from the superior mesenteric artery group than from the superior mesenteric vein group (p = 0.001). The number (p = 0.005) of metastatic lymph nodes and the lymph node ratio (p = 0.041) in main nodes were both higher in the superior mesenteric artery group. The 2 groups had similar long-term survival, but the superior mesenteric artery group tended to show better disease-free survival in patients with stage disease III (p = 0.056). LIMITATIONS This was a retrospective, nonrandomized study. CONCLUSION Laparoscopic D3 lymphadenectomy along the left side of the superior mesenteric artery, except for a higher rate of chylous leakage, had short-term outcomes comparable to the superior mesenteric vein group. The superior mesenteric artery group tended to achieve better disease-free survival in patients with stage III disease, but further study is required to better elucidate differences in these approaches because risks/benefits do exist.

Purpose Hybrid PET/MRI has been increasingly incorporated into the practice of radiation oncologists since it contains both anatomical and biological data and may bring about personalized radiation plans for each patient. The objective of this study was to evaluate the feasibility of GTV delineation from hybrid PET/MRI compared with that from current-practice MRI during radiotherapy planning in patients with colorectal liver metastases. Patients and Methods Twenty-four patients (thirty lesions) with colorectal liver metastases were prospectively enrolled in this study. Three physicians delineated the target volume with the most popular delineating methods—the visual method. First of all, differences among the three observers were assessed. The difference and correlation of GTV values obtained by MRI, PET, and hybrid PET/MRI were subjected to statistical analysis afterwards. Finally, the dice similarity coefficient (DSC) was calculated to assess the spatial overlap. Based on the value of DSC, we also evaluate the correlation between DSC and tumor size. GTV-MRI was set as a reference. Results There was no significant difference among observers in GTV-MRI (F=0.118, p=0.889), GTV-PET (F=0.070, p=0.933) and GTV-PET/MRI (F=0.40, p=0.961). 83.33% of GTV-PET/MRI and 63.33% of GTV-PET were larger than the reference GTV-MRI. Statistical analysis revealed that GTV-PET/MRI (p

BACKGROUND Neoadjuvant therapy (NAT) is becoming increasingly important in locally advanced rectal cancer. Hence, such research has become a problem. AIM To evaluate the downstaging effect of NAT, its impact on postoperative complications and its prognosis with different medical regimens. METHODS Seventy-seven cases from Shanghai Ruijin Hospital affiliated with Shanghai Jiaotong University School of Medicine were retrospectively collected and divided into the neoadjuvant radiochemotherapy (NRCT) group and the neoadjuvant chemotherapy (NCT) group. The differences between the two groups in tumor regression, postoperative complications, rectal function, disease-free survival, and overall survival were compared using the χ2 test and Kaplan-Meier analysis. RESULTS Baseline data showed no statistical differences between the two groups, whereas the NRCT group had a higher rate of T4 (30/55 vs 5/22, P < 0.05) than the NCT groups. Twelve cases were evaluated as complete responders, and 15 cases were evaluated as tumor regression grade 0. Except for the reduction rate of T stage (NRCT 37/55 vs NCT 9/22, P < 0.05), there was no difference in effectiveness between the two groups. Preoperative radiation was not a risk factor for poor reaction or anastomotic leakage. No significant difference in postoperative complications and disease-free survival between the two groups was observed, although the NRCT group might have better long-term overall survival. CONCLUSION NAT can cause tumor downstaging preoperatively or even complete remission of the primary tumor. Radiochemotherapy could lead to better T downstaging and promising overall survival without more complications.

Infantile hypertonic myofibrillar myopathy is characterized by the rapid development of rigid muscles and respiratory insufficiency soon after birth, with very high mortality. It is extremely rare, and only a few cases having been reported until now. Here we report four Chinese infants with fatal neuromuscular disorders characterized by abdominal and trunk skeletal muscle stiffness and rapid respiratory insufficiency progression. Electromyograms showed increased insertion activities and profuse fibrillation potentials with complex repetitive discharges. Immunohistochemistry staining of muscle biopsies showed accumulations of desmin in the myocytes. Powdery Z-bands with dense granules across sarcomeres were observed in muscle fibers using electron microscopy. All patients carry a homozygous c.3G>A mutation in the CRYAB gene, which resulted in the loss of the initiating methionine and the absence of protein. This study’s findings help further understand the disease and highlight a founder mutation in the Chinese population.

Background High levels of thymidylate synthase (TS) and dihydrofolate reductase (DHFR) expression in tumour tissues are an indicator of ineffective responses to pemetrexed-based chemotherapy in various tumours, including non-small cell lung cancer (NSCLC). However, tumour tissues are highly heterogeneous, so a single biopsy may not reflect genetic alterations during disease progression. This study investigated the potential use of plasma TS and DHFR mRNA levels as biomarkers for predicting sensitivity to pemetrexed-based chemotherapy. Methods Plasma samples were obtained from 245 patients with advanced NSCLC and 30 healthy donors. Total RNA was extracted from the plasma samples, and TS and DHFR mRNA levels were determined via real-time PCR. TS and DHFR mRNA levels between cancer patients and healthy controls were compared. The association between plasma TS and DHFR mRNA levels and tumour response to pemetrexed/cisplatin chemotherapy was analysed. Results The plasma TS and DHFR mRNA levels decreased in patients with advanced NSCLC compared with healthy controls. Moreover, plasma TS and DHFR mRNA levels negatively correlated with tumour response to pemetrexed/cisplatin chemotherapy in patients with advanced NSCLC. Overall survival time was prolonged in patients with low TS mRNA expression compared with those with high TS mRNA expression, although the difference was not statistically significant. Conclusions Low expression levels of plasma TS and DHFR mRNA confer increased tumour sensitivity to pemetrexed/cisplatin chemotherapy in patients with advanced NSCLC. The results suggested that plasma TS and DHFR mRNA levels are promising biomarkers for choosing patients who are likely to respond and benefit the most from pemetrexed-based chemotherapy.

Background. Combined aerobic and resistance training has been demonstrated to benefit glycemic control and reverse nonalcoholic fatty liver disease in childhood obesity. General control nonderepressible 2 (GCN2) deficiency has been reported to attenuate hepatic steatosis and insulin resistance. However, whether GCN2 impacts the positive effects of combined aerobic and resistance exercise remains unknown. Objectives. To investigate whether combined aerobic and resistance exercise improves hepatic steatosis and glucose intolerance and the role GCN2 plays in mediating the metabolic regulation of exercise. Methods. Wild-type (WT) and GCN2 knockout (GCN2KO) mice were fed a high-fat diet (HFD) for 25 weeks. The WT and GCN2KO mice performed exercise (treadmill running + ladder climbing) during the last eight weeks. Their body and liver weights, their triglyceride content, and their levels of aspartate transaminase (AST), alanine transaminase (ALT), and blood glucose were measured, and the expressions of proteins involved in the GCN2/eIF2α/ATF4 pathway and the glucolipid metabolism-related proteins (e.g., p-AMPK, SIRT1, PPARα, PGC-1α, GLUT4, and p-GSK-3β) were determined. Results. The body weight of WT and GCN2KO mice continued to increase until the end of the experiment. The liver weights, hepatic triglyceride content, and AST and ALT levels of the exercised mice were significantly reduced compared to those of the sedentary mice. Exercise improved blood glucose levels and glucose clearance ability in the WT mice, but the glucose intolerance of GCN2KO mice was not improved. Exercise increased PGC-1α, GLUT4, and p-GSK-3β expressions in the WT rather than the GCN2KO mice. Interestingly however, exercise-trained GCN2KO mice were better protected against hepatic steatosis with downregulated expressions of p-eIF2α and ATF4, upregulated expressions of p-AMPK and SIRT1, and the presence of PPARα in the liver, compared to the exercised WT mice. Conclusion. Combined aerobic and resistance exercise had positive effects on hepatic steatosis and the control of glucose intolerance. GCN2 was found to be necessary for exercise-induced improved glucose intolerance. However, the better efficacy in improving hepatic steatosis by exercise in the GCN2-deficient mice enhanced liver lipid metabolism, at least partially, via the AMPK/SIRT1/PPARα pathway.

Thermal switches are a type of heat control devices widely used in electronics, engineering machinery, and other applications. Electrostatically driven thermal switches (EDTS) have received wide at...

Background. Critical patients with the coronavirus disease 2019 (COVID-19), even those whose nucleic acid test results had turned negative and those receiving maximal medical support, have been noted to progress to irreversible fatal respiratory failure. Lung transplantation (LT) as the sole therapy for end-stage pulmonary fibrosis related to acute respiratory distress syndrome has been considered as the ultimate rescue therapy for these patients. Methods. From February 10 to March 10, 2020, three male patients were urgently assessed and listed for transplantation. After conducting a full ethical review and after obtaining assent from the family of the patients, we performed three LT procedures for COVID-19 patients with illness durations of more than one month and extremely high sequential organ failure assessment scores. Results. Two of the three recipients survived post-LT and started participating in a rehabilitation program. Pearls of the LT team collaboration and perioperative logistics were summarized and continually improved. The pathological results of the explanted lungs were concordant with the critical clinical manifestation, and provided insight towards better understanding of the disease. Government health affair systems, virology detection tools, and modern communication technology all play key roles towards the survival of the patients and their rehabilitation. Conclusions. LT can be performed in end-stage patients with respiratory failure due to COVID-19-related pulmonary fibrosis. If confirmed positive-turned-negative virology status without organ dysfunction that could contraindicate LT, LT provided the final option for these patients to avoid certain death, with proper protection of transplant surgeons and medical staffs. By ensuring instant seamless care for both patients and medical teams, the goal of reducing the mortality rate and salvaging the lives of patients with COVID-19 can be attained.

Objective: To know about the current situation of hypertension in some areas of Hubei Province and analyze the influencing factors. Methods: According to the principle of Stratified sampling, we conducted health examination and questionnaire survey for 1500 residents over the age of 18 at observation point of chronic noninfectious diseases at 10 sub-districts (towns) of Wuhan City, Jingzhou City, Huanggang City, Shiyan City, which used descriptive statistics and logistics to regressively analyze Current situation of hypertension and its influencing factors of residents. Results: Prevalence of hypertension of rural and urban residents over 18 is 27.44% in Hubei province. There are many differences among prevalence of hypertension of male and female, distribution of BMI of rural and urban residents and prevalence of hypertension and so on, and it has statistical significance (P-value , education level, dieting habits (high salt and high oil), family per capita monthly income, BMI have statistical significance on the prevalence of hypertension in urban and rural residents of Hubei Province. Conclusions: The prevalence of hypertension in the residents of five cities and prefectures in Hubei Province is on the trend of rising in ladder form and at a much earlier age. The health education, monitoring and intervention of chronic diseases need to be widely carried out, with emphasis on the intervention of the residents’ eating habits of high salt and oil, smoking, drinking and other bad lifestyle.

Video compression algorithms are widely used to reduce the huge size of video data, but they also introduce unpleasant visual artifacts due to the lossy compression. In order to improve the quality of the compressed videos, we proposed a deep non-local Kalman network for compression artifact reduction. Specifically, the video restoration is modeled as a Kalman filtering procedure and the decoded frames can be restored from the proposed deep Kalman model. Instead of using the noisy previous decoded frames as temporal information, the less noisy previous restored frame is employed in a recursive way, which provides the potential to generate high quality restored frames. In the proposed framework, several deep neural networks are utilized to estimate the corresponding states in the Kalman filter and integrated together in the deep Kalman filtering network. More importantly, we also exploit the non-local prior information by incorporating the spatial and temporal non-local networks for better restoration. Our approach takes the advantages of both the model-based methods and learning-based methods, by combining the recursive nature of the Kalman model and powerful representation ability of neural networks. Extensive experimental results on the Vimeo-90k and HEVC benchmark datasets demonstrate the effectiveness of our proposed method.

Recently, the coronavirus, COVID-19 has been abstracting the most impressive attention of the whole world. Until the mid-March, the number of confirmed cases achieves more than 150,000 in 152 countries around the world. This paper will introduce the impact of the virus in China and overseas. As the first outbreak place, China has suffered seriously from the outbreak of COVID-19. The impact on Chinese economy is profound and complex because of both domestic and oversea factors. However, the author suggests that the risk is also an opportunity for China. It is positive to promote some sectors in both economy and society such as the Internet industry and the response to a public health emergency.

Laparoscopy-assisted gastrectomy (LAG) has been proven to be feasible and oncologically safe for early gastric cancer. Despite the rapid increase in the number of LAG cases, there are few reports on the long-term outcomes of T4a (serosalinvasion) gastric cancer after LAG. The aim of the present study was to evaluate the long-term clinical outcomes in patients with stage T4a gastric cancer after laparoscopic gastrectomy.A total of 578 patients with gastric cancer were treated with LAG between February 2004 and December 2014. Among these patients, 224 patients were pathologically confirmed with T4a advanced gastric cancer. The clinical and follow-up data were retrospectively analyzed, the survival rates were estimated using the Kaplan-Meier method, and the risk factors for overall and disease-free survival (DFS) were evaluated by Cox regression.Among these 224 patients, 129 patients were above 60 years old, and the male-to-female ratio was 157:67. Furthermore, among these patients, 125 patients received laparoscopy-assisted distal gastrectomy, whereas 99 patients received laparoscopy-assisted total gastrectomy. Forty (17.90%) patients experienced postoperative complications according to the Clavien-Dindo classification. Median follow-up time was 32 months. Recurrence was observed in 99 (44.20%) patients. The cumulative 5-year overall survival (OS) and DFS rates were 47.20% and 43.60%, respectively. The 5-year OS and DFS rates were 72.50% and 70.00% for stage N0, 57.00% and 53.90% for stage N1, 41.60% and 37.00% for stage N2, and 23.30% and 21.30% for stage N3, respectively. In the univariate analysis, tumor size, tumor location, N stage and metastatic lymph node ratio (MLR) were correlated with OS and DFS. The MLR was identified as an independent predictor for OS (P0.05; hazard ratio=1.828; 95% confidence interval, 1.353-2.469) and DFS (P0.05; hazard ratio=1.197; 95% confidence interval, 0.945-1.516).The long-term outcomes of LAG for T4a (M0) gastric cancer were acceptable, compared with previous reports. Therefore, this treatment could be considered as an alternative operative approach for T4a gastric cancer. The MLR was an independent predictor for OS and DFS.

In this paper, we will introduce the recent progress in deep learning based visual data compression, including image compression, video compression and point cloud compression. In the past few years, deep learning techniques have been successfully applied to various computer vision and image processing applications. However, for the data compression task, the traditional approaches (i.e., block based motion estimation and motion compensation, etc.) are still widely employed in the mainstream codecs. Considering the powerful representation capability of neural networks, it is feasible to improve the data compression performance by employing the advanced deep learning technologies. To this end, the deep leaning based compression approaches have recently received increasing attention from both academia and industry in the field of computer vision and signal processing.

Background: Previous studies have shown conflicting results about the benefits of pretreatment with intravenous thrombolysis before endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) with large vessel occlusions (LVOs). This study aimed to investigate the clinical efficacy and safety of EVT alone vs. bridging therapy (BT) in patients with AIS with LVOs.Methods: A systematic review with meta-analysis of all available studies comparing clinical outcomes between BT and EVT alone was conducted by searching the National Center for Biotechnology Information/National Library of Medicine PubMed and Web of Science databases for relevant literature from database inception to October 20, 2020.Results: A total of 93 studies enrolling 45,190 patients were included in the present analysis. In both unadjusted and adjusted analyses, BT was associated with a higher likelihood of 90-day good outcome (crude odds ratio [cOR] 1.361, 95% confidence interval [CI] 1.234–1.502 and adjusted OR [aOR] 1.369, 95% CI 1.217–1.540) and successful reperfusion (cOR 1.271, 95% CI 1.149–1.406 and aOR 1.267, 95% CI 1.095–1.465) and lower odds of 90-day mortality (cOR 0.619, 95% CI 0.560–0.684 and aOR 0.718, 95% CI 0.594–0.868) than EVT alone. The two groups did not differ in the occurrence of symptomatic intracranial hemorrhage (sICH) (cOR 1.062, 95% CI 0.915–1.232 and aOR 1.20, 95% CI 0.95–1.47), 24-h early recovery (cOR 1.306, 95% CI 0.906–1.881 and aOR 1.46, 95% CI 0.46–2.19), and number of thrombectomy device passes ≤ 2 (aOR 1.466, 95% CI 0.983–2.185) after sensitivity analyses and adjustment for publication bias.Conclusions: BT provides more benefits than EVT alone in terms of clinical functional outcomes without compromising safety in AIS patients with LVOs.

In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for both static and dynamic point cloud compression. Taking advantages of both octree based methods and voxel based schemes, our approach employs the voxel context to compress the octree structured data. Specifically, we first extract the local voxel representation that encodes the spatial neighbouring context information for each node in the constructed octree. Then, in the entropy coding stage, we propose a voxel context based deep entropy model to compress the symbols of non-leaf nodes in a lossless way. Furthermore, for dynamic point cloud compression, we additionally introduce the local voxel representations from the temporal neighbouring point clouds to exploit temporal dependency. More importantly, to alleviate the distortion from the octree construction procedure, we propose a voxel context based 3D coordinate refinement method to produce more accurate reconstructed point cloud at the decoder side, which is applicable to both static and dynamic point cloud compression. The comprehensive experiments on both static and dynamic point cloud benchmark datasets(e.g., ScanNet and Semantic KITTI) clearly demonstrate the effectiveness of our newly proposed method VoxelContext-Net for 3D point cloud geometry compression., Comment: CVPR2021

Structural coloration, where the microscopic structure of surfaces affects the behavior of light, has attracted growing attention across numerous application areas, especially textile engineering a...

Summary Background The authors introduce an algorithm for preoperative planning of optimal lateral circumflex femoral artery system perforator flap (LCFAPF) supplied by the best quality and the easiest dissection of the perforators and the source vessels for simplified and customized strategies in head and neck reconstruction with perforator navigation using color Doppler ultrasound and three-dimensional reconstruction (3D-CDUS PN). Methods Between June 2011 and September 2015, a prospective cohort study was performed with an algorithm based on defect site, perforator type, and pedicle length using 3D-CDUS PN to select optimal perforators arising from the different branches of LCFA in 108 patients. The optimal perforator and flap were determined by perforator caliber and quality, difficulty in flap dissection, and length of the source vessels. Cause and classification of the defect, flap choice, recipient vessels, postoperative course, and complications were analyzed. Results The source vessels of the perforators were lateral descending branch in 73 cases and oblique branch in 17 cases with ALTPFs, medial descending branch in 12 cases with AMTPFs, and ascending branch in 6 cases with TFLPFs. Straightforward dissection of flaps with septocutaneous (n = 40) and semi-septocutaneous (n = 17) perforators was performed in 52.8% cases. Successful exploration rate and overall flap survival rate were both 100%. Satisfactory functional and esthetic results in both recipient and donor sites with no serious complications were observed in all patients. Conclusions Our algorithm using 3D-CDUS PN facilitates selection of optimal flap with better caliber and quality of the perforators and sufficient pedicle length for easy dissection.

Thermal switches control thermal circuits and are widely used in electronics and engineering. Shape-memory alloys can be deformed by heating, which is widely used as a driving part for ther...

Objective To examine the effects of pachyman in combination with vinorelbine and cisplatin on tumor growth and the expression of epidermal growth factor receptor (EGFR) and K-ras in a mouse model of lung cancer induced using the human lung cancer cell line A549, and to investigate the molecular mechanisms underlying the antitumor effects of pachyman.Methods We recorded the size of the tumor xenografts in mice after treatment with pachyman monotherapy or pachymanin combination with vinorelbine and cisplatin. We performed immunohistochemical analysis to determine the levels of expression and distribution of EGFR and K-ras in lung cancer tissues. Real-time fluorescence quantitative PCR was used to determine the relative mRNA expression levels of EGFR and K-ras in lung cancer tissues.Results Vinorelbine and cisplatin significantly decreased the rate of growth of A549 xenografts, and pachyman increased the efficacy of vinorelbine and cisplatin. EGFR and K-ras were widely expressed in A549 xenografts. Vinorelbine and cisplatin could significantly decrease the expression, distribution and mRNA expression levels of EGFR and K-ras in tumor tissues. Pachyman monotherapy significantly decreased the distribution and the mRNA expression levels of EGFR in lung cancer tissues. In addition, pachyman in combination with vinorelbine and cisplatin markedly decreased the distribution and expression levels of EGFR in lung cancer tissues. However, pachyman monotherapy or combination therapy did not significantly decrease the mRNA expression levels of K-ras.Conclusion Thus, pachyman in combination with vinorelbine can significantly inhibit the growth of A549 xenografts, and pachyman can regulate the expression of the EGFR gene to increase the efficacy of vinorelbine and cisplatin in lung cancer and decrease the side effects associated with chemotherapy. Keywords: Pachyman, Vinorelbine, Cisplatin, Lung cancer, EGFR, K-ras

Background: To investigate the application value of 4K high definition (HD) in laparoscopic gastrectomy by comparing the short-term outcomes and subjective perception with three-dimensional (3D) an...

To describe the urological manifestations of Erdheim–Chester disease (ECD) and their computed tomography (CT) findings. We retrospectively reviewed 48 patients diagnosed with ECD at Peking Union Medical College Hospital from January 2014 to January 2020. Twenty-four patients exhibited urological manifestations. Their CT findings, including appearances of the involved area (e.g., perirenal space, renal sinus, ureters, renal arteries, and adrenal glands), occurrence rate of ECD involvement in each area, signal enhancement pattern after CT contrast agent administration, disease progression, and causes of hydronephrosis were discussed. In 24 patients with evidence of ECD urological involvement, the most common manifestation was perirenal infiltration, appearing as “hairy kidney” on unenhanced CT scans and moderate signal enhancement on enhanced CT scans (17/24, 70.8%). Other manifestations included renal sinus infiltration (16/24, 66.7%), proximal ureter involvement (14, 58.3%), renal artery sheath (10, 41.7%), hydronephrosis (14, 58.3%), and adrenal glands involvement (8, 33.3%). The histiocytic infiltrate was mostly bilateral, starting from the perirenal space and spreading to the renal sinus and ureters. Hydronephrosis was usually associated with infiltration of ureters. Kidneys are the most common visceral organs affected by ECD. CT scanning is not only advantageous in early diagnosis, but also critical for designing the treatment regime for patients with ECD.

The Niangziguan Spring is one of the largest karst springs in northern China and water in this spring area is the main water-supply source for people in Yangquan City for daily life, industrial processes and agricultural production. However, decreasing groundwater levels and growing waterpollution issues have been observed recently. Therefore, the objective of this study was to conduct a systematic analysis of water-flow reduction and water-quality deterioration of the Niangziguan Spring. The results show that various wastewater sources upstream of the spring, such as coal mining, and urban industrial and domestic effluents, have contributed to the deterioration of the Niangziguan Spring water quality. A mathematical model known as the one-order one-variable grey differential equation model GM(1,1) was employed to evaluate the contribution of climate change versus human activities potentially affecting the reduction of spring-water flow. The calculations for the period from 1979 to 2006 suggest that a contribution of human activities to water-flow reduction was 2.5 times greater than those that can be attributable to climate change. The research results obtained as presented in this paper can provide a scientific basis for rational exploitation of karst-water resources and environmental protection in this karst area of northern China.

Background The prognosis of patients with locally advanced gastric cancer with outlet obstruction is poor. Gastrectomy with curative intent is often initially impossible or difficult. Objective We report our experience of curative distal gastrectomy after laparoscopic gastrojejunostomy and fluorouracil, leucovorin, oxaliplatin, and docetaxel (FLOT) chemotherapy to examine the feasibility and safety of this modified strategy for locally advanced gastric cancer with outlet obstruction, initially deemed unresectable. Methods Between October 2017 and June 2019, 15 patients diagnosed with locally advanced gastric cancer with outlet obstruction sequentially underwent gastrojejunostomy, received four cycles of FLOT chemotherapy, and underwent laparoscopic distal gastrectomy with curative intent (R0 resection + D2 lymphadenectomy). Clinical data were retrospectively collected and analyzed. Results R0 resection was possible in 12/15 patients, laparoscopically in 11, and one conversion to laparotomy was necessary. There was no perioperative mortality in the 12 patients. Pathologic evaluation of the resected specimens revealed that complete tumor grade regression 1a (TRG1a), TRG1b, TRG2, and TRG3 occurred in 3, 2, 4, and 3 patients, respectively. Conclusion This case series showed that curative surgical resection was feasible as a staged approach for patients with locally advanced gastric cancer with outlet obstruction, after initial staged gastrojejunostomy and chemotherapy.

Background and objectives We compared the 3-year overall survival between cephalomedial-to-lateral approach proctectomy (CEMP) and medial-to-lateral approach proctectomy (MAP) in patients undergoing laparoscopic total mesorectal excision for rectal cancer. The advantages of CEMP and the clinical value of No. 253 lymph nodes resection have not been objectively analyzed in literature. Methods This was a prospective, two-arm, multicenter, single-blinded, randomized trial. The primary endpoint was 3-year overall survival, and secondary endpoints included safety, feasibility, oncological radicality (including number of No. 253 lymph nodes harvested), short-term outcome, 3-year disease-free survival, rate of postoperative complications, mortality, and rate of recurrence. Results From May 2016 to July 2020, 506 patients were enrolled-256 in the CEMP group and 250 in the MAP group. Comparison of overall survival and disease-free survival showed that there was treatment benefit in the CEMP group (28.22 ± 12.12 vs. 27.44 ± 13.06, p = 0.485; 27.24 ± 12.01 vs. 26.42 ± 12.81; p = 0.457). More No. 253 lymph nodes were harvested in the CEMP group, and cases with positive No. 253 lymph nodes had worse prognosis in stage III. Surgical safety was equal for both approaches. Conclusions Dissection of No. 253 lymph nodes may be important to improve clinical prognosis, but further studies with larger samples are needed to confirm this finding.

Learning based video compression attracts increasing attention in the past few years. The previous hybrid coding approaches rely on pixel space operations to reduce spatial and temporal redundancy, which may suffer from inaccurate motion estimation or less effective motion compensation. In this work, we propose a feature-space video coding network (FVC) by performing all major operations (i.e., motion estimation, motion compression, motion compensation and residual compression) in the feature space. Specifically, in the proposed deformable compensation module, we first apply motion estimation in the feature space to produce motion information (i.e., the offset maps), which will be compressed by using the auto-encoder style network. Then we perform motion compensation by using deformable convolution and generate the predicted feature. After that, we compress the residual feature between the feature from the current frame and the predicted feature from our deformable compensation module. For better frame reconstruction, the reference features from multiple previous reconstructed frames are also fused by using the non-local attention mechanism in the multi-frame feature fusion module. Comprehensive experimental results demonstrate that the proposed framework achieves the state-of-the-art performance on four benchmark datasets including HEVC, UVG, VTL and MCL-JCV., Comment: CVPR2021(oral)

Recently, Coronavirus disease 2019 is the most frequent public health event in human history, spreads fastest, has the most extensive infection and the most difficult prevention and control, which has been abstracting the most impressive attention of the whole world. China, as the first outbreak place, has suffered seriously from the outbreak of Covid-19. The impact on domestic economy is profound and complex. How to effectively deal with once in a century global pandemic is still a world problem to be solved by the international community. Proceeding from the reality of China’s national conditions, following the objective law of prevention and control of infectious diseases, China has made great efforts to explore a set of effective “Chinese methods” in the control of epidemic situation and treatment of patients. Investigation, detection and monitoring with epidemiological investigation as the core has become the key link to cut off the chain of virus transmission and implement timely treatment for patients. To set up hospitals at different levels and to treat patients with mild, moderate and severe diseases according to their conditions, the combination of traditional Chinese and Western medicine has greatly reduced the infection rate and death rate, and improved the cure rate. From the whole industrial chain, the primary industry, the secondary industry, and the tertiary industry are all almost affected. However, some difficulties, opportunities and challenges of Covid-19 should be paid attention to and grasped.

Reconstructing 3D human shape and pose from monocular images is challenging despite the promising results achieved by the most recent learning-based methods. The commonly occurred misalignment comes from the facts that the mapping from images to the model space is highly non-linear and the rotation-based pose representation of body models is prone to result in the drift of joint positions. In this work, we investigate learning 3D human shape and pose from dense correspondences of body parts and propose a Decompose-and-aggregate Network (DaNet) to address these issues. DaNet adopts the dense correspondence maps, which densely build a bridge between 2D pixels and 3D vertices, as intermediate representations to facilitate the learning of 2D-to-3D mapping. The prediction modules of DaNet are decomposed into one global stream and multiple local streams to enable global and fine-grained perceptions for the shape and pose predictions, respectively. Messages from local streams are further aggregated to enhance the robust prediction of the rotation-based poses, where a position-aided rotation feature refinement strategy is proposed to exploit spatial relationships between body joints. Moreover, a Part-based Dropout (PartDrop) strategy is introduced to drop out dense information from intermediate representations during training, encouraging the network to focus on more complementary body parts as well as neighboring position features. The efficacy of the proposed method is validated on both indoor and real-world datasets including Human3.6M, UP3D, COCO, and 3DPW, showing that our method could significantly improve the reconstruction performance in comparison with previous state-of-the-art methods. Our code is publicly available at https://hongwenzhang.github.io/dense2mesh ., Journal article accepted by IEEE TPAMI. Project page: https://hongwenzhang.github.io/dense2mesh

This tutorial aims at reviewing the recent progress in the deep learning based data compression, including image compression and video compression. In the past years, deep learning techniques have been successfully applied to a large number of computer vision and image processing tasks. However, for the data compression task, the traditional approaches (i.e., block based motion estimation and motion compensation, etc.) are still widely employed in the mainstream codecs. Considering the powerful representation capability, it is possible to improve the data compression performance by employing the advanced deep learning technologies. To this end, deep leaning based compression approaches have recently received significant attention from both academia and industry in the field of computer vision and image/video compression. In this tutorial, we will introduce the related deep learning techniques for image compression and video compression. Specifically, in this tutorial, we will first introduce the basic pipeline for the traditional codecs, such as JPEG, H.264 and HEVC. Then, we will discuss the common network architectures for visual data compression and analyse different learning based entropy models. Based on these techniques, we will describe several widely used end-to-end optimized frameworks for visual data compression. In summary, our tutorial will cover both the traditional data coding techniques and the popular learning based visual data compression algorithms, which will help the audiences with different backgrounds learn the recent progresses in this emerging research area.

It is well known that external disturbances and parametric variation commonly exist in electric vehicle and may reduce the speed tracking accuracy. Since the electric vehicle model is a complicated multi-input, multi-output nonlinear system composed of permanent magnet synchronous motor and vehicle transmission system, it is challenging to achieve precise speed tracking control when both external disturbances and parametric variation are taken into account. This task can be formulated as a global robust output regulation problem. In this paper, a systematic internal model control method is proposed to solve this control problem. It is worth mentioning that the proposed controller can not only achieve precise speed tracking performance with external disturbances, but also allow all the system parameters to be uncertain. Simulation results verify the effectiveness of our design.

To investigate the estimated glomerular filtration rates of chronic hepatitis B (CHB) patients with or without liver cirrhosis, and to explore the related risk factors. A total of 559 CHB patients were enrolled. Liver cirrhosis was diagnosed with ultrasound. The Child-Pugh scoring system was used to stage patients with liver cirrhosis. The Modification of Diet in Renal Disease (MDRD) formula was used to calculate the estimated glomerular filtration rate (eGFR). A total of 296 patients were involved. The results showed that the incidence of renal impairment in patients with liver cirrhosis was 8.45% (25/296). The incidence of renal impairment in Child-Pugh C patients was significantly higher than that in Child-Pugh B and Child-Pugh Grade A patients (i.e., 17.2% [17/99] vs 6.67% [7/105] vs 1.09% [1/92], respectively, P

Alzheimer’s disease (AD) is the most common cause of dementia. Despite numerous studies on the subject, the pathologies for AD are still unclear and there is still no ideal biomarker for diagnosis. The present study aimed to investigate clinical significance of human complement factor H (CFH) in patients with late-onset AD. Methods: The present prospective study included 187 late-onset AD patients who went to our hospital from January 2015 to December 2017. One hundred patients with mild cognitive impairment (MCI) and 80 healthy individuals who were age and gender matched to AD patients were enrolled as controls. Demographic data such as age, gender, and education duration were recorded. Blood samples were collected and serum levels of C-reactive protein (CRP), CFH, and brain-derived neurotrophic factor (BDNF) were determined by Enzyme-linked immunosorbent assay (ELISA). The mini-mental state examination (MMSE) score was measured for all patients. Results: No significant difference was found in age, gender, and education duration for all participants. The MMSE scores showed AD patients had lower MMES scores than the other two groups. All factors of CFH, CRP, and BDNF were dramatically decreased in AD patients compared with the MCI and the ealthy control. Levels of CFH were found to be positively correlated with levels of CRP; however, no significant correlation was found between CFH and BDNF, nor CFH and MMSE. Conclusion: CFH was decreased in late-onset AD patients, and serum levels of CFH was correlated with serum levels of CRP, but not MMSE and BDNF. These results may provide more clinical evidences for the role of CFH in AD patients.

To investigate and analyze the effect of quantitative self-rating health scale in elderly patients with hypertension. From January 2018 to October 2018, 95 elderly hypertensive patients managed by a community health service center in a city were selected, and 100 healthy persons were selected in the same period. Self-rated health assessment scale and general data questionnaire were used to investigate and analyze them. The total score of self-rated health assessment scale and its dimensions in elderly patients with hypertension were significantly lower than those in healthy control group (p 0.05).The scores of physical health, social health and self-rated health assessment scale in elderly patients with hypertension were correlated with gender, age and educational level in varying degrees (p 0.05). The scores of mental health and total self-rated health were correlated with age and educational level (p 0.05). Multiple stepwise regression analysis showed that age was an important factor affecting self-rated health assessment scale in elderly patients with hypertension (p

In the learning based video compression approaches, it is an essential issue to compress pixel-level optical flow maps by developing new motion vector (MV) encoders. In this work, we propose a new framework called Resolution-adaptive Flow Coding (RaFC) to effectively compress the flow maps globally and locally, in which we use multi-resolution representations instead of single-resolution representations for both the input flow maps and the output motion features of the MV encoder. To handle complex or simple motion patterns globally, our frame-level scheme RaFC-frame automatically decides the optimal flow map resolution for each video frame. To cope different types of motion patterns locally, our block-level scheme called RaFC-block can also select the optimal resolution for each local block of motion features. In addition, the rate-distortion criterion is applied to both RaFC-frame and RaFC-block and select the optimal motion coding mode for effective flow coding. Comprehensive experiments on four benchmark datasets HEVC, VTL, UVG and MCL-JCV clearly demonstrate the effectiveness of our overall RaFC framework after combing RaFC-frame and RaFC-block for video compression.

To investigate the safety and feasibility of the completely medial access by page-turning approach (CMAP) for laparoscopic right hemi-colectomy. In this retrospective study, the data from 72 patients who underwent laparoscopic right hemi-colectomy with CMAP were analyzed and compared with data from 124 patients who underwent the conventional medial approach performed by the same surgical team from September 2011 to March 2017. Complete mesocolic excision (CME) was achieved in 67 of 72 patients (93.1%) with laparoscopic CMAP. The average operation time, blood loss, and specimen length was 135.9 ± 28.3 min, 63.2 ± 32.2 ml, and 23.9 ± 4.7 cm, respectively. The number of lymph nodes harvested was 20.6 ± 7.7, the time-to-flatus was 2.5 ± 0.8 days, the time-to-fluid intake was 3.2 ± 0.8 days, and the average hospital stay was 8.9 ± 4.7 days. No intra-operative complications occurred in this study. The vessel-related complication and total post-operative complication rate was 2.78% (2/72) and 6.94% (5/72), respectively. Laparoscopic CMAP was an alternative approach for CME in laparoscopic right hemi-colectomy, which was proved safe and feasible for right colon cancer.

The control problem of permanent magnet (PM) synchronous motor has attracted extensive attentions in both control society and industrial applications. Much recently, a local speed tracking and nonlinear disturbance rejection problem of PM synchronous motor was investigated by nonlinear internal model design. In this paper, we propose a novel two-step controller design strategy to achieve speed tracking and nonlinear disturbance rejection of PM synchronous motor with wide speed range, which combines the advantages of classical double-loop control and nonlinear internal model control. It is worth mentioning that the proposed two-step controller design strategy can not only guarantee exact speed tracking with wide speed range, but also reject small nonlinear external disturbances in the load torque, generated by a so-called nonlinear exosystem. Simulation results demonstrate the effectiveness of our design.

The resolution of an image is an important indicator for measuring image quality. The higher the resolution, the more detailed information is contained in the image, which is more conducive to subsequent image analysis and other tasks. Improving the resolution of images has always been the unremitting pursuit of industry and academia. In the past, people used hardware devices to increase the resolution, which is a practical solution. However, there are many limitations in the method of improving the image resolution by hardware devices. We use software-based image super-resolution technology, which transforms low-resolution images into high-resolution images through a series of machine learning algorithms. The classic GAN algorithm is difficult to train a model, and the improved Wasserstein GAN algorithm can make the model training more stable. Based on SRGAN model, this algorithm replaces the classical GAN algorithm with the improved WGAN algorithm. We will use the FY-3D satellite’s Medium Resolution Spectral Imager Type II (MERSI-II) data, using super-resolution algorithms to make the reconstructed image significantly better visually. We conducted four sets of controlled experiments using four different improved methods. We will evaluate the image from three aspects: peak signal to noise ratio value, structural similarity value and visual effect. We applied the WGAN-GP algorithm to super-resolution tasks and achieved the desired results.

Exercise preconditioning may protect against cardiac injury induced by lipopolysaccharide (LPS), but the mechanism is unresolved. The aim of this study is to explore whether the general control nonderepressible 2 (GCN2) kinase gene is associated with the protective effect of exercise preconditioning. Eight-week-old male C57BL/6J (n = 40) and GCN2 knockout (KO) (n = 40) mice were divided into four groups: control, LPS (L), exercise preconditioning (E), and exercise preconditioning LPS (EL). Mice in the exercise groups performed exercise for eight weeks. After exercise, all mice were given an equal volume of LPS or saline (10 μg/g). We measured the cardiac function using echocardiography and then collected heart tissue. Exercise preconditioning improved cardiac inflammation (interleukin-6, tumor necrosis factor α) and cardiac dysfunction (ejection fraction, fraction shortening) in C57 mice induced by LPS and also decreased the expression levels of GCN2, phosphorylation of eukaryotic translation initiation factor 2α (p-eIF2α), and activating transcription factor 4 (ATF4). Moreover, GCN2 KO decreased inflammation and cardiac dysfunction induced by LPS in sedentary mice. The inflammation and cardiac dysfunction in the GCN2 KO EL group were lower than in the C57 EL group, and the expression of GCN2, p-eIF2α, and ATF4 in the GCN2 KO EL group was lower than in the C57 EL group. Exercise preconditioning alleviated cardiac injury induced by LPS. GCN2 KO also improved cardiac injury. Exercise preconditioning promoted the effect of GCN2 KO in alleviating cardiac injury, and the GCN2 and eIF2α/ATF4 pathways play an important role in the process.

Mindfulness and self-compassion are reported to have a preventive effects on depression and anxiety disorders. In the present study, we aimed to assess the effect of mindful self-compassion intervention on preventing postpartum depression in a group of symptomatic pregnant women. Participants were screened and assigned to the intervention and control groups randomly. A 6-week Internet-based Mindful Self-Compassion Program was used to train the participants. Multiple scales were used to assess depressive and anxiety symptoms, mindfulness, self-compassion, and mother and infant well-being. All assessments were performed at three time points: baseline, 3 months, and 1 year postpartum. Compared with the control group, the intervention group showed significant improvement in depressive and anxiety behaviors. In addition, the intervention group became more mindful and self-compassionate at 3 months and 1 year postpartum. More importantly, both mothers and infants experienced substantial improvement in well-being. Our findings indicate that mindful self-compassion intervention is effective in preventing postpartum depression and promoting mother and infant well-being.

Background: Radiotherapy remains one of the cornerstones to improve the outcome of colorectal cancer (CRC) patients. Radiotherapy of the CRC not only help to destroy cancer cells but also remodel the tumour microenvironment by enhancing tumour-specific tropism of bone marrow-derived mesenchymal stromal cell (BM-MSC) from the peripheral circulation. However, the role of local MSCs and recruited BM-MSC under radiation were not well defined. Indeed, the functions of BM-MSC without irradiation intervention remained controversial in tumour progression: BM-MSC was previously shown to modulate the immune function of major immune cells, resulting in an impaired immunological sensitivity and to induce an increased risk of tumour recurrence. In contrast, it could also secrete various cytokines and possess anticancer effect. Methods: Three co-cultivation modules, 3D culture modules, and cancer organoids were established. The induction of cytokines secretion in hBM-MSCs after irradiation was analysed by ELISA array and flow cytometry. AutoMac separator was used to separate hBM-MSC and CRC automatically. Cells from the co-cultured group and the control group were then irradiated by UV-C lamp and X-ray. Proliferation assay and viability assay were performed. Results: In this study, we show that BM-MSCs can induce the EMT progression of CRC cells in vitro. When irradiated with low doses of ultraviolet radiation and X-rays, BM-MSCs show an anti-tumour effect by secreting certain cytokine (TNF-α, IFN-γ) that lead to the inhibition of proliferation and induction of apoptosis of CRC cells. This was further verified in a 3D culture model of a CRC cell in vitro. Furthermore, irradiation on the co-culture system induced the cleavage of caspase3, and attenuated the phosphorylation of phosphatidylinositol 3-kinase (PI3K)/AKT and extracellular signal-regulated kinase in cancer cells. The signal pathways above might contribute to the cancer cell death. Conclusions: Taken together, we show that BM-MSC can potentially promote the effect of radiotherapy in CRC.

Image saliency detection is to segment the most important areas in the image. Solving the problem of image saliency detection usually involves knowledge in computer vision, neuroscience, cognitive psychology and other fields. In recent years, as deep learning has made great achievements in the field of computer vision, the application of deep learning has also played a good role in image saliency detection. Therefore, algorithms based on deep convolutional neural networks have become solutions to image saliency The most effective method of detection. For researchers, improving the computational efficiency of neural network-based saliency detection algorithms generally starts from two perspectives. One is to tailor the network structure and combine traditional feature extraction methods for processing. The other is to use a lighter network to solve the saliency detection problem. Based on these two points of thinking, this paper proposes two efficient and accurate neural network-based saliency detection algorithms. In recent years, with the rapid development of multimedia and Internet technologies, a huge amount of picture information is generated on blogs, social networking or shopping platforms every day. Such a lot of information not only enriches people’s lives, but also provides efficient and accurate network management platforms. The management of these image information brings difficulties. Therefore, how to understand and process these image information more intelligently and efficiently has become a hot topic for many image processing and computer vision researchers. Among them, the saliency detection technology plays a key role in solving the problem of intelligent understanding and processing of images. To put it simply, saliency detection is a technology to automatically calculate or detect the most important areas in an image, and its processing results provide a basis for understanding and processing the image content. Saliency detection is a basic problem in computer vision, neuroscience and visual perception. The algorithm detects and extracts the most interesting or significant areas in the image.

This paper studies a speed tracking and nonlinear disturbance rejection problem of PM synchronous motor. By formulating the problem as a robust output regulation problem of multivariable nonlinear system, we propose a robust output feedback control law based on internal model design. It is worth mentioning that the control law, can not only achieve asymptotic tracking of desired speed, but also reject nonlinear external disturbance in the load torque, generated by a so-called nonlinear exosystem. Simulation results will also be provided to demonstrate the effectiveness of our design.

Aim Extralevator abdominoperineal resection) (ELAPR) is challenging “conventional” adbominoperineal resection (APR) yet the safety and efficacy of ELAPR is still under debate. We therefore developed a laparoscopic APR with transabdominal individualized levator transection (LAPR-TILT) approach and compared the outcome with a conventional laparoscopic APR (CLAPR). Method All eligible patients were entered a single center randomized controlled trial to compare CLAPR and LAPR-TILT. We assessed the first 185 patients, including operative findings, complications, histopathology and urogenital function. Results 93 patients in the CLAPR group and 92 patients in the APR-TILT group were included for analysis. The APR-TILT procedure took less time (137min [101-175] vs 146min [102-187], p=0.03), mainly owing to faster perineal dissection. APR-TILT resulted in reduced rate of bowel perforation (1.1% vs 8.6%, p=0.04), CRM positivity (1.1% vs 10.8%, P=0.01) and postoperative wound complications (5.4% vs 16.2%,p=0.02) as compared to the CLAPR procedure. At a median follow up of 19 months after surgery, 3 patients (3.2%) in the CLAPR group had tumor recurrence while no tumour recurrence occurred in the LAPR-TILT group. Patients underwent LAPR-TILT reported fewer urinary or sexual problems (LAPR-TILT vs CLAPR, 10.9% vs 24.7% and 17.4% vs 38.7% respectively). Conclusion Compared to CLAPR, LAPR-TILT achieved better pathological results for factors that are surrogate parameters for local recurrence. LAPR-TILT could also reduce the risk of urogenital dysfunction. This article is protected by copyright. All rights reserved.